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Multifactoral Authentication of Electronic Documents
Gancarčík, Lukáš ; Kodl,, Jindřich (referee) ; Smejkal, Vladimír (advisor)
The aim of the thesis is to provide complete information regarding electronic documents and possibilities of their usage. The focus is concentrated on the area of authentication, which specifies the possibility of obtaining authentication information and describes the authentication processes itself. The diploma thesis also deals with the suggestion of multifactor authentication of electronic documents for the selected company.
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Software for Biometric Recognition of a Human Eye Iris
Maruniak, Lukáš ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
In my thesis, I focus on the task of recognizing human iris from an image.In the beginning, the work deals with a question of biometrics, its importance and basic concepts, which are necessary for use in following text. Subsequently process of human Iris detection is described together with theory of evolution algorithms. In the implementation part, is described the design of implemented solution, which uses evolution algorithms, where is emphasis on correct pupil and iris boundary detection.
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Recognition of Skin Diseases on Fingers of a Human Hand
Šesták, Martin ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
This bachelor thesis deals with the design of methods and application for recognition of the fingerprints from diseased and healthy fingers and the subsequent detection of selected diseases. The first part describes basic principles of biometrics, introduction to fingerprints and their processing, and introduction to the topic of fingerprints affected by skin diseases. The next section describes the implementation of the application and its results. The application was tested on a database of research group STRaDe, from the Department of Intelligent Systems, Faculty of Information Technology, Brno University of Technology, which contains approximately 380 test fingerprints.
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Presentation Attack Detection on Hand Sensing Technology in Infrared Area
Richtarik, Jakub ; Sakin, Martin (referee) ; Drahanský, Martin (advisor)
When verifying a fingerprint, an attacker can use a counterfeit made of synthetic material. This can be prevented, for example, by using multispectral analysis, when various materials have different reflectance for certain wavelengths. There are several studies that have addressed this, but have always focused on one finger. The aim of this work is liveness detection on the whole palm and fingers, as on a larger object, which will contribute to even higher level of security. In the final solution, a NIR camera was used to capture the dataset, which is used to train a convolutional network to determine whether it is a living hand or a counterfeit.
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Contactless User Authentification Using Leap Motion Sensor
Lukáč, Jakub ; Beran, Vítězslav (referee) ; Najman, Pavel (advisor)
Contactless authentication of users has grown in popularity as a new technology. Recent findings in the field of computer vision and its applications have contributed to the emergence of new devices such as Leap Motion controller. This device is capable of precise recognition of hand positions and simple gestures identification. This paper presents an application of data gathered from controller's interface and using them for user identification. Proposed solution uses hand geometry to evaluate the recognition process where this accessible and inexpensive device can be used. Therefore, the user can easily benefit from this extra feature coming with the new device. To conclude, the results show overall accuracy over 99 % on a relatively small dataset.
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Hand Extraction from a Photo with Different Backgrounds
Kováčik, Timotej ; Kanich, Ondřej (referee) ; Sakin, Martin (advisor)
This thesis focuses on extraction of human hand from photographs with different backgrounds. The goal is to design and implement an algorithm capable of locating human hand in the image and identifying its parts. It analyses the methods of biometric identification and verification, methods used for extracting objects from an image. The outcome of this thesis is a design and implementation of an algorithm that is able to extract human hand from a photo and identify its parts.
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Face Features Extraction Methods
Adamček, Ľubomír ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
The face has been one of the most attractive available human biometries for a long time due to it's easy and convenient way to obtain it. Possibilities of it's utilization are broad - from security, through monitoring up to enternainment industry. This work presents the domain of face biometry and analyses 3 extraction methods of facial features - PCA, LBP and HOG. A part of this work is also an efficient implementation of these algorithms including GUI designed to experiment with this implementation and to evaluate its performance on a set of images capturing people in various conditions.
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Liveness Detection of Human Hand from Multispectral Images
Kľučiar, Adam ; Drahanský, Martin (referee) ; Sakin, Martin (advisor)
This thesis is aimed at liveness detection from multispectral palm images. The theoretical part includes the importance of liveness detection in biometry systems and it discusses several methods of liveness detection, hardware and software-based. Subsequently, there is a summary of individual parts of the human skin and an explanation of the light spectrum, its division and the importance of individual parts for liveness detection and their effect on individual parts of the skin. The outcome of this thesis is the design and implementation of an algorithm capable of detecting anorganic hand imitations by their properties acquired from a set of images taken under the light of three different wavelengths.
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Liveness Detection of Human Hand from Multispectral Images
Kľučiar, Adam ; Drahanský, Martin (referee) ; Sakin, Martin (advisor)
This thesis is aimed at liveness detection from multispectral palm images. The theoretical part includes the importance of liveness detection in biometry systems and it discusses several methods of liveness detection, hardware and software-based. Subsequently, there is a summary of individual parts of the human skin and an explanation of the light spectrum, its division and the importance of individual parts for liveness detection and their effect on individual parts of the skin. The outcome of this thesis is the design and implementation of an algorithm capable of detecting anorganic hand imitations by their properties acquired from a set of images taken under the light of three different wavelengths.
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